Research Article
Fog Computing as a Critical Link Between a Central Cloud and IoT in Support of Fast Discovery of New Hydrocarbon Reservoirs
@INPROCEEDINGS{10.1007/978-3-319-90775-8_20, author={Andrzej Goscinski and Zahir Tari and Izzatdin Aziz and Eidah Alzahrani}, title={Fog Computing as a Critical Link Between a Central Cloud and IoT in Support of Fast Discovery of New Hydrocarbon Reservoirs}, proceedings={Mobile Networks and Management. 9th International Conference, MONAMI 2017, Melbourne, Australia, December 13-15, 2017, Proceedings}, proceedings_a={MONAMI}, year={2018}, month={5}, keywords={Seismic Data Processing (SDP) Hydrocarbon exploration Fog computing Edge computing Cloud computing}, doi={10.1007/978-3-319-90775-8_20} }- Andrzej Goscinski
Zahir Tari
Izzatdin Aziz
Eidah Alzahrani
Year: 2018
Fog Computing as a Critical Link Between a Central Cloud and IoT in Support of Fast Discovery of New Hydrocarbon Reservoirs
MONAMI
Springer
DOI: 10.1007/978-3-319-90775-8_20
Abstract
The overall process of discovering hydrocarbon traps, starting with geological exploration through to Seismic Data Processing (SDP) is very expensive and time consuming. In the real-world, the oil and gas production relies on how soon seismic data is computationally processed. The ability for an oil and gas company to perform seismic computation at higher speed within shorter time provides competitive advantage in the race to discover new hydrocarbon reservoirs. We are convinced that the current state of research in areas such as cloud computing, fog computing, and edge computing will make a major change. The goal of this paper is to present the first step towards the development of such a three-level system and show its feasibility in the context of a model for hydrocarbon exploration and discovery operation.